Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China

Spatially-invariant land use and cover changes (LUCC) are not suitable for managing non-stationary drought conditions. Therefore, developing a spatially varying framework for managing land resources is necessary. In this study, the Dongjiang River Basin in South China is used to exemplify the signif...

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Autores principales:	Ping Yu Fan, Kwok Pan Chun, Ana Mijic, Mou Leong Tan, Qing He, Omer Yetemen
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Spatially-variant Land use and cover changes Hydrologic drought Standardized runoff index (SRI) Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/4265c94b0e404435a731be156709f7c6
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spelling	oai:doaj.org-article:4265c94b0e404435a731be156709f7c62021-12-01T04:56:28ZQuantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China1470-160X10.1016/j.ecolind.2021.107945https://doaj.org/article/4265c94b0e404435a731be156709f7c62021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006105https://doaj.org/toc/1470-160XSpatially-invariant land use and cover changes (LUCC) are not suitable for managing non-stationary drought conditions. Therefore, developing a spatially varying framework for managing land resources is necessary. In this study, the Dongjiang River Basin in South China is used to exemplify the significance of spatial heterogeneity in land planning optimization for mitigating drought risks. Using ERA5 that is the 5th major atmospheric reanalysis from the European Centre for Medium-Range Weather Forecast, we computed the Standardized Runoff Index (SRI) to quantify the hydrologic drought during 1992 to 2018. Also, based on Climate Change Initiative land use product, The Geographically Weighted Principal Component Analysis was used to identify the most dominant land types in the same period. Then, we used the Emerging Hot Spots Analysis to characterize the spatiotemporal evolution of historical LUCC and SRI. The spatially varying coefficients of Geographically and Temporally Weighted Regression models were used to reveal the empirical relationships between land types and the SRI. Results indicated that rainfed cropland with herbaceous cover, mosaic tress and shrub, shrubland, and grassland were four land types having statistical correlations with drought conditions over 27 years. Moreover, since 2003, the DRB was becoming drier, and the northern areas generally experienced severer hydrologic drought than the south. More importantly, we proposed region-specific land-use strategies for drought risk reductions. At a basin scale, we recommended to 1) increase rainfed herbaceous cropland and 2) reduce mosaic tree and shrub. At a sub-basin scale, the extents of shrub and grassland were suggested to increase in the northern DRB but to reduce in the south. Region-specific land use planning, including suitable locations, scales, and strategies, will contribute to handling current ‘one-size-fits-all’ LUCC. Planners are suggested to integrate spatial characteristics into future LUCC for regional hydrologic management.Ping Yu FanKwok Pan ChunAna MijicMou Leong TanQing HeOmer YetemenElsevierarticleSpatially-variantLand use and cover changesHydrologic droughtStandardized runoff index (SRI)EcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107945- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Spatially-variant Land use and cover changes Hydrologic drought Standardized runoff index (SRI) Ecology QH540-549.5
spellingShingle	Spatially-variant Land use and cover changes Hydrologic drought Standardized runoff index (SRI) Ecology QH540-549.5 Ping Yu Fan Kwok Pan Chun Ana Mijic Mou Leong Tan Qing He Omer Yetemen Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China
description	Spatially-invariant land use and cover changes (LUCC) are not suitable for managing non-stationary drought conditions. Therefore, developing a spatially varying framework for managing land resources is necessary. In this study, the Dongjiang River Basin in South China is used to exemplify the significance of spatial heterogeneity in land planning optimization for mitigating drought risks. Using ERA5 that is the 5th major atmospheric reanalysis from the European Centre for Medium-Range Weather Forecast, we computed the Standardized Runoff Index (SRI) to quantify the hydrologic drought during 1992 to 2018. Also, based on Climate Change Initiative land use product, The Geographically Weighted Principal Component Analysis was used to identify the most dominant land types in the same period. Then, we used the Emerging Hot Spots Analysis to characterize the spatiotemporal evolution of historical LUCC and SRI. The spatially varying coefficients of Geographically and Temporally Weighted Regression models were used to reveal the empirical relationships between land types and the SRI. Results indicated that rainfed cropland with herbaceous cover, mosaic tress and shrub, shrubland, and grassland were four land types having statistical correlations with drought conditions over 27 years. Moreover, since 2003, the DRB was becoming drier, and the northern areas generally experienced severer hydrologic drought than the south. More importantly, we proposed region-specific land-use strategies for drought risk reductions. At a basin scale, we recommended to 1) increase rainfed herbaceous cropland and 2) reduce mosaic tree and shrub. At a sub-basin scale, the extents of shrub and grassland were suggested to increase in the northern DRB but to reduce in the south. Region-specific land use planning, including suitable locations, scales, and strategies, will contribute to handling current ‘one-size-fits-all’ LUCC. Planners are suggested to integrate spatial characteristics into future LUCC for regional hydrologic management.
format	article
author	Ping Yu Fan Kwok Pan Chun Ana Mijic Mou Leong Tan Qing He Omer Yetemen
author_facet	Ping Yu Fan Kwok Pan Chun Ana Mijic Mou Leong Tan Qing He Omer Yetemen
author_sort	Ping Yu Fan
title	Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China
title_short	Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China
title_full	Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China
title_fullStr	Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China
title_full_unstemmed	Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China
title_sort	quantifying land use heterogeneity on drought conditions for mitigation strategies development in the dongjiang river basin, china
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4265c94b0e404435a731be156709f7c6
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Quantifying land use heterogeneity on drought conditions for mitigation strategies development in the Dongjiang River Basin, China

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